SOTAVerified

Character-level Convolutional Network for Text Classification Applied to Chinese Corpus

2016-11-14Code Available0· sign in to hype

Wei-Jie Huang, Jun Wang

Code Available — Be the first to reproduce this paper.

Reproduce

Code

Abstract

This article provides an interesting exploration of character-level convolutional neural network solving Chinese corpus text classification problem. We constructed a large-scale Chinese language dataset, and the result shows that character-level convolutional neural network works better on Chinese corpus than its corresponding pinyin format dataset. This is the first time that character-level convolutional neural network applied to text classification problem.

Tasks

Reproductions